Ask Aikido: Contextual AI Chat
Ask Aikido is the in-product chat for digging deeper into a finding. Aikido already filters noise automatically. AutoTriage suppresses false positives and reprioritizes issues using reachability, CVE signals, and your environment context. Most of the time, that is enough.
Use Ask Aikido when you want to validate a decision, inspect the real attack path, or adapt a generated fix. You stay inside Aikido. You do not need to switch tools or copy findings into a separate chatbot.
Use cases
1. SAST: Code analysis
Ask questions like Is this actually risky for us? , Why did AutoTriage raise the severity for this issue? or Walk me through how this could be exploited in practice.
Use this chat to:
validate severity
understand the realistic attack path
decide whether to fix now, schedule it, or ignore it with a reason
This chat can be reached by clicking 'View Code Analysis' in the sidebar (for SAST issues). Then click the button 'Ask Aikido' on top left.
2. Dependencies: Full impact analysis
Ask questions like Is this actually reachable in our app? or Explain the full impact analysis
Use this chat to turn dependency paths and call graph output into plain-language exploitability guidance.
This chat can be reached by clicking 'View Reachability Analysis' in the sidebar (for dependency issues). Then click the button 'Ask Aikido' in the bottom left.
3. Refine AutoFix
Use this chat when an AutoFix is close, but not ready to merge. Ask questions like Can you adjust this patch to X , Explain the reasoning for this fix , Please add a comment explaining the fix
You can ask Aikido to:
match your naming and style conventions
add tests or small logic changes
adapt the patch to your architecture
For more on fix refinement, see Refine AutoFixes with Aikido AI.
What it knows
Each chat runs with full context: the finding, affected code, CVE metadata, reachability signals, and the diff (where relevant). Answers are grounded in your specific stack, not generic security advice.
Actions you can take from chat
From the chat, you can:
ignore the issue with AI-generated reasoning
create or refine an AutoFix
save custom context to improve future suggestions
Related pages
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